{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:HZVNOJ7TLZRKXFJNUORN6H4P7M","short_pith_number":"pith:HZVNOJ7T","canonical_record":{"source":{"id":"2305.16302","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-25T17:56:04Z","cross_cats_sorted":[],"title_canon_sha256":"70a536a7c1029b772961d11f73b3cfdafed812337cffc45bd91779c2791f6daa","abstract_canon_sha256":"d7aff2308e892178128f244ae61afb879a73d2bc9b480efd9737cb9f5673a55e"},"schema_version":"1.0"},"canonical_sha256":"3e6ad727f35e62ab952da3a2df1f8ffb1d6471f0ee42092f7be25e3781b80e93","source":{"kind":"arxiv","id":"2305.16302","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.16302","created_at":"2026-07-05T09:56:20Z"},{"alias_kind":"arxiv_version","alias_value":"2305.16302v1","created_at":"2026-07-05T09:56:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.16302","created_at":"2026-07-05T09:56:20Z"},{"alias_kind":"pith_short_12","alias_value":"HZVNOJ7TLZRK","created_at":"2026-07-05T09:56:20Z"},{"alias_kind":"pith_short_16","alias_value":"HZVNOJ7TLZRKXFJN","created_at":"2026-07-05T09:56:20Z"},{"alias_kind":"pith_short_8","alias_value":"HZVNOJ7T","created_at":"2026-07-05T09:56:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:HZVNOJ7TLZRKXFJNUORN6H4P7M","target":"record","payload":{"canonical_record":{"source":{"id":"2305.16302","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-25T17:56:04Z","cross_cats_sorted":[],"title_canon_sha256":"70a536a7c1029b772961d11f73b3cfdafed812337cffc45bd91779c2791f6daa","abstract_canon_sha256":"d7aff2308e892178128f244ae61afb879a73d2bc9b480efd9737cb9f5673a55e"},"schema_version":"1.0"},"canonical_sha256":"3e6ad727f35e62ab952da3a2df1f8ffb1d6471f0ee42092f7be25e3781b80e93","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:56:20.036362Z","signature_b64":"9ALNJaNp5wRtkEdUWb0ZZ5XvYXvao3YE/1kAD5jYar6LiP2PzjKzDY9ckugbt0VgV3/EtYCO/gcPzWsh7O4XBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3e6ad727f35e62ab952da3a2df1f8ffb1d6471f0ee42092f7be25e3781b80e93","last_reissued_at":"2026-07-05T09:56:20.035872Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:56:20.035872Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.16302","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:56:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xdxLdsLFddCQ6hkNBT0Z30HiGL9LKJaU1d3uCNNpI6Y2alQxDrY+MtzTz+ESUJRToQwWoNOKtaTc3YpAnuJQAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T20:17:20.007639Z"},"content_sha256":"6b50452a06e63409e7490a708dae5688cd343fb303bd8f03a5c66a63ffa13ce9","schema_version":"1.0","event_id":"sha256:6b50452a06e63409e7490a708dae5688cd343fb303bd8f03a5c66a63ffa13ce9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:HZVNOJ7TLZRKXFJNUORN6H4P7M","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Alessandro Moschitti, Ankit Chadha, Shivanshu Gupta, Yoshitomo Matsubara","submitted_at":"2023-05-25T17:56:04Z","abstract_excerpt":"While impressive performance has been achieved on the task of Answer Sentence Selection (AS2) for English, the same does not hold for languages that lack large labeled datasets. In this work, we propose Cross-Lingual Knowledge Distillation (CLKD) from a strong English AS2 teacher as a method to train AS2 models for low-resource languages in the tasks without the need of labeled data for the target language. To evaluate our method, we introduce 1) Xtr-WikiQA, a translation-based WikiQA dataset for 9 additional languages, and 2) TyDi-AS2, a multilingual AS2 dataset with over 70K questions spanni"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.16302","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2305.16302/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:56:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QZt702PsonRZ/bzhpHqtx9OGP9HlN0CiIe9RqqXb61jw3Ee8TKe0CPLlmjvQXuo3h9o7gk693kMF5xE9JxuqDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T20:17:20.008059Z"},"content_sha256":"7aeb7127c26d806e5b6eda7bb4dc78a0a70a2ce793c2bdb127fd90feb96bfb89","schema_version":"1.0","event_id":"sha256:7aeb7127c26d806e5b6eda7bb4dc78a0a70a2ce793c2bdb127fd90feb96bfb89"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HZVNOJ7TLZRKXFJNUORN6H4P7M/bundle.json","state_url":"https://pith.science/pith/HZVNOJ7TLZRKXFJNUORN6H4P7M/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HZVNOJ7TLZRKXFJNUORN6H4P7M/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-03T20:17:20Z","links":{"resolver":"https://pith.science/pith/HZVNOJ7TLZRKXFJNUORN6H4P7M","bundle":"https://pith.science/pith/HZVNOJ7TLZRKXFJNUORN6H4P7M/bundle.json","state":"https://pith.science/pith/HZVNOJ7TLZRKXFJNUORN6H4P7M/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HZVNOJ7TLZRKXFJNUORN6H4P7M/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:HZVNOJ7TLZRKXFJNUORN6H4P7M","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"d7aff2308e892178128f244ae61afb879a73d2bc9b480efd9737cb9f5673a55e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-25T17:56:04Z","title_canon_sha256":"70a536a7c1029b772961d11f73b3cfdafed812337cffc45bd91779c2791f6daa"},"schema_version":"1.0","source":{"id":"2305.16302","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.16302","created_at":"2026-07-05T09:56:20Z"},{"alias_kind":"arxiv_version","alias_value":"2305.16302v1","created_at":"2026-07-05T09:56:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.16302","created_at":"2026-07-05T09:56:20Z"},{"alias_kind":"pith_short_12","alias_value":"HZVNOJ7TLZRK","created_at":"2026-07-05T09:56:20Z"},{"alias_kind":"pith_short_16","alias_value":"HZVNOJ7TLZRKXFJN","created_at":"2026-07-05T09:56:20Z"},{"alias_kind":"pith_short_8","alias_value":"HZVNOJ7T","created_at":"2026-07-05T09:56:20Z"}],"graph_snapshots":[{"event_id":"sha256:7aeb7127c26d806e5b6eda7bb4dc78a0a70a2ce793c2bdb127fd90feb96bfb89","target":"graph","created_at":"2026-07-05T09:56:20Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2305.16302/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While impressive performance has been achieved on the task of Answer Sentence Selection (AS2) for English, the same does not hold for languages that lack large labeled datasets. In this work, we propose Cross-Lingual Knowledge Distillation (CLKD) from a strong English AS2 teacher as a method to train AS2 models for low-resource languages in the tasks without the need of labeled data for the target language. To evaluate our method, we introduce 1) Xtr-WikiQA, a translation-based WikiQA dataset for 9 additional languages, and 2) TyDi-AS2, a multilingual AS2 dataset with over 70K questions spanni","authors_text":"Alessandro Moschitti, Ankit Chadha, Shivanshu Gupta, Yoshitomo Matsubara","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-25T17:56:04Z","title":"Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.16302","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:6b50452a06e63409e7490a708dae5688cd343fb303bd8f03a5c66a63ffa13ce9","target":"record","created_at":"2026-07-05T09:56:20Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"d7aff2308e892178128f244ae61afb879a73d2bc9b480efd9737cb9f5673a55e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-25T17:56:04Z","title_canon_sha256":"70a536a7c1029b772961d11f73b3cfdafed812337cffc45bd91779c2791f6daa"},"schema_version":"1.0","source":{"id":"2305.16302","kind":"arxiv","version":1}},"canonical_sha256":"3e6ad727f35e62ab952da3a2df1f8ffb1d6471f0ee42092f7be25e3781b80e93","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3e6ad727f35e62ab952da3a2df1f8ffb1d6471f0ee42092f7be25e3781b80e93","first_computed_at":"2026-07-05T09:56:20.035872Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:56:20.035872Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9ALNJaNp5wRtkEdUWb0ZZ5XvYXvao3YE/1kAD5jYar6LiP2PzjKzDY9ckugbt0VgV3/EtYCO/gcPzWsh7O4XBA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:56:20.036362Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.16302","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6b50452a06e63409e7490a708dae5688cd343fb303bd8f03a5c66a63ffa13ce9","sha256:7aeb7127c26d806e5b6eda7bb4dc78a0a70a2ce793c2bdb127fd90feb96bfb89"],"state_sha256":"c54dbe17254e52b49773245de7dbf8da571c0716df28b28edac517a51dcf9355"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r2NEtJpxq1BTWCgOVhNjCbFIMOyhMlSM8P127NdbJn1OliKCExGbvWv/hrdF3tCOM5jBuJPOdyaTG2StjVxnBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T20:17:20.010673Z","bundle_sha256":"16ec10ce84033d53e860c5e1ab901752db07b1083d2b8dc2ec69c62aa6d6bf84"}}